Triple

T8076987
Position Surface form Disambiguated ID Type / Status
Subject Taguchi Shōta E188516 entity
Predicate givenName P17 FINISHED
Object Shōta
Shōta is a masculine Japanese given name commonly used for boys and borne by various figures in entertainment and sports.
 E710371 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shōta | Statement: [Taguchi Shōta, givenName, Shōta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shōta
Context triple: [Taguchi Shōta, givenName, Shōta]
  • A. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Fumihito
    Fumihito is the Crown Prince of Japan and younger son of Emperor Emeritus Akihito, serving as first in line to the Chrysanthemum Throne.
  • D. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • E. Daisuke
    Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shōta
Triple: [Taguchi Shōta, givenName, Shōta]
Generated description
Shōta is a masculine Japanese given name commonly used for boys and borne by various figures in entertainment and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shōta
Target entity description: Shōta is a masculine Japanese given name commonly used for boys and borne by various figures in entertainment and sports.
  • A. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Fumihito
    Fumihito is the Crown Prince of Japan and younger son of Emperor Emeritus Akihito, serving as first in line to the Chrysanthemum Throne.
  • D. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • E. Daisuke
    Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a184488190b19ef7066f0f5057 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f3f6848190a719b8a9605218ee completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:28 p.m.